This interface is designed as part of MIDRC's ML research to help clinicians, researchers, and early AI developers with a modular, flexible, and user-friendly software tool that can effectively meet their needs to explore, train, and test AI algorithms as well as interpret their model results.The major highlight of MAI-CARE is its capability of visualization and interpretability which can help physicians, pathologists, radiologists interpret/visualize results of otherwise Blackbox AI algorithms. The significance of this API is unexperienced users may have more time to swiftly pre-process, build/train their AI models on their own use-cases, and further visualize and explore these AI models as part of this pipeline, all in an end-to-end manner.
MIDRC is a multi-institutional collaborative initiative driven by the medical imaging community that was initiated in late summer 2020 to help combat the global COVID-19 health emergency. MIDRC is aimed at accelerating the transfer of knowledge and innovation in the COVID-19 pandemic and beyond. MIDRC, funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and hosted at the University of Chicago, is co-led by the American College of Radiology® (ACR®), the Radiological Society of North America (RSNA), and the American Association of Physicists in Medicine (AAPM).